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  盲信号分离(BSS)指在源信号混合和传输信道未知的情况下，只利用接收天线的输出观测混合信号抽取源信号的方法。本文简要阐述了常用的瞬时混合盲信号分离的LMS与RLS自适应算法，对RLS自适应算法重点研究分析了基于普通梯度与自然梯度的两种算法，并通过仿真实验来分析比较几种方法的性能。(Blind signal separation (BSS) refers to the source signal and transmission channel mixing unknown circumstances, the only use of the receiving antenna output source signal observed mixed-signal extraction method. This paper describes commonly used blind source separation of instantaneous mixture of LMS and RLS adaptive algorithms, the RLS adaptive algorithm focuses on the analysis of general gradient and the natural gradient based on two algorithms, and through simulation experiments to compare several methods of analysis performance.)